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6.8.2 Posterior segment (120)
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81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment StudyRogers TW
Eye 2019; 33: 1791-1797
82185 Location of Retinal Nerve Fiber Layer Defects in Open-angle Glaucoma and Associated FactorsKim HU
Korean Journal of Ophthalmology 2019; 33: 379-385
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographsOrlando JI
Medical Image Analysis 2020; 59: 101570
81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma DetectionLi L
IEEE Transactions on Medical Imaging 2020; 39: 413-424
82110 Retinal vessel phenotype in patients with primary open-angle glaucomaChiquet C
Acta Ophthalmologica 2020; 98: e88-e93
81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under AnesthesiaPujari A
Journal of Glaucoma 2019; 28: e143-e144
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus PhotographsLiu H
JAMA ophthalmology 2019; 0:
82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus PhotographsTong W
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289
82493 Heritability of pachymetric indices using Pentacam Scheimflug imagingHashemi H
British Journal of Ophthalmology 2019; 0:
82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucomaRong X
BMC Ophthalmology 2019; 19: 203
82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluationMalerbi FK
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913
82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learningHemelings R
Acta Ophthalmologica 2020; 98: e94-e100
82656 Localized Retinal Nerve Fiber Layer Defect Location among Red-free Fundus Photograph, En Face Structural Image, and Cirrus HD-OCT MapsPark JH
Journal of Glaucoma 2019; 0:
82440 Retinal exams requested at Primary Care Unit: indications, results and alternative strategies of evaluationCarneiro ABM
Einstein (Sao Paulo, Brazil) 2020; 18: eGS4913
82092 Accurate prediction of glaucoma from colour fundus images with a convolutional neural network that relies on active and transfer learningElen B
Acta Ophthalmologica 2020; 98: e94-e100
82647 REFUGE Challenge: A unified framework for evaluating automated methods for glaucoma assessment from fundus photographsFu H
Medical Image Analysis 2020; 59: 101570
82656 Localized Retinal Nerve Fiber Layer Defect Location among Red-free Fundus Photograph, En Face Structural Image, and Cirrus HD-OCT MapsYoo C
Journal of Glaucoma 2019; 0:
82577 Peripapillary retinal artery in first diagnosed and untreated normal tension glaucomaCai Y
BMC Ophthalmology 2019; 19: 203
82185 Location of Retinal Nerve Fiber Layer Defects in Open-angle Glaucoma and Associated FactorsNa KI
Korean Journal of Ophthalmology 2019; 33: 379-385
81972 A Large-Scale Database and a CNN Model for Attention-Based Glaucoma DetectionXu M
IEEE Transactions on Medical Imaging 2020; 39: 413-424
82400 Development and Validation of a Deep Learning System to Detect Glaucomatous Optic Neuropathy Using Fundus PhotographsLi L
JAMA ophthalmology 2019; 0:
82802 Reliability of Graders and Comparison with an Automated Algorithm for Vertical Cup-Disc Ratio Grading in Fundus PhotographsRomero M
Annals of the Academy of Medicine, Singapore 2019; 48: 282-289
81946 Evaluation of an AI system for the automated detection of glaucoma from stereoscopic optic disc photographs: the European Optic Disc Assessment StudyJaccard N
Eye 2019; 33: 1791-1797
82493 Heritability of pachymetric indices using Pentacam Scheimflug imagingYekta A
British Journal of Ophthalmology 2019; 0:
81815 Direct Smartphone Disc Video Documentation for Pediatric Glaucomas During Evaluation Under AnesthesiaSelvan H
Journal of Glaucoma 2019; 28: e143-e144
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